5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
Guodong Qi, Huimin Yu
Unsupervised meta-learning aims to learn the meta knowledge from unlabeled data and rapidly adapt to novel tasks. However, existing approaches may be misled by the context-bias (e.…
cs.CV2022★ 5 cited
GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature
Biyang Liu, Huimin Yu, Guodong Qi
Although supervised deep stereo matching networks have made impressive achievements, the poor generalization ability caused by the domain gap prevents them from being applied to re…